# ZoomInfo MCP tool for ADK

Supported in ADKPythonTypeScript

The [ZoomInfo MCP Server](https://docs.zoominfo.com/docs/zi-api-mcp-overview) connects your ADK agent to the [ZoomInfo](https://www.zoominfo.com/) B2B intelligence platform, giving it access to 100M+ company profiles, 300M+ professional contacts, and go-to-market signals. This integration gives your agent the ability to find prospects, enrich records, surface intent signals, and research accounts using natural language.

## Use cases

- **Prospect Discovery**: Find companies and contacts matching your ICP using filters like industry, location, company size, job title, seniority, and tech stack.
- **Account & Contact Enrichment**: Append verified firmographic and demographic data — revenue, headcount, emails, direct dials, and funding — to existing records inside agent workflows.
- **Go-to-Market Signal Detection**: Surface intent signals, leadership changes, and strategic scoops to reach buyers at the right moment.

## Prerequisites

- Sign up for a [ZoomInfo account](https://www.zoominfo.com/free-trial-contact-sales)
- A ZoomInfo SalesOS or Copilot subscription

## Use with agent

```python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import StdioConnectionParams
from mcp import StdioServerParameters


root_agent = Agent(
    model="gemini-flash-latest",
    name="zoominfo_agent",
    instruction="Help users find companies, enrich contacts, and surface go-to-market insights using ZoomInfo",
    tools=[
        McpToolset(
            connection_params=StdioConnectionParams(
                server_params=StdioServerParameters(
                    command="npx",
                    args=[
                        "-y",
                        "mcp-remote",
                        "https://mcp.zoominfo.com/mcp",
                    ]
                ),
                timeout=30,
            ),
        )
    ],
)
```

```typescript
import { LlmAgent, MCPToolset } from "@google/adk";

const rootAgent = new LlmAgent({
    model: "gemini-flash-latest",
    name: "zoominfo_agent",
    instruction: "Help users find companies, enrich contacts, and surface go-to-market insights using ZoomInfo",
    tools: [
        new MCPToolset({
            type: "StdioConnectionParams",
            serverParams: {
                command: "npx",
                args: [
                    "-y",
                    "mcp-remote",
                    "https://mcp.zoominfo.com/mcp",
                ],
            },
        }),
    ],
});

export { rootAgent };
```

Note

When you run this agent for the first time, a browser window opens automatically to request access via OAuth. Alternatively, you can use the authorization URL printed in the console. You must approve this request to allow the agent to access your ZoomInfo data.

## Available tools

| Tool                       | Description                                                                                                                                              |
| -------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `search_companies`         | Search ZoomInfo's company database by name, industry, location, employee count, revenue, tech stack, growth metrics, and funding information             |
| `search_contacts`          | Search ZoomInfo's contact database by name, job title, management level, department, company, location, and accuracy score                               |
| `enrich_companies`         | Get complete company profiles — revenue, headcount, funding, tech stack, corporate structure, and more — for up to 10 companies per call                 |
| `enrich_contacts`          | Get verified business contact details — email, phone, job title, employment history, and accuracy scores — for up to 10 contacts per call                |
| `find_similar_companies`   | Find companies similar to a reference company using ML-based firmographic matching, useful for lookalike prospecting and territory expansion             |
| `find_similar_contacts`    | Find contacts similar to a reference person, optionally constrained to a target company, using ML-based persona matching                                 |
| `get_recommended_contacts` | Get AI-ranked contact recommendations at a target company based on your sales motion — PROSPECTING, DEAL_ACCELERATION, or RENEWAL_AND_GROWTH             |
| `search_intent`            | Search for companies actively researching specific topics across ZoomInfo's database, with signal score and audience strength filters                    |
| `enrich_intent`            | Get buyer intent signals for a specific company — topics researched, signal scores, audience strength, and duration                                      |
| `search_scoops`            | Search for real-time business intelligence signals — leadership changes, funding events, product launches, partnerships, and more — across all companies |
| `enrich_scoops`            | Get the latest scoops for a specific company — the full context behind the signal, not just the headline                                                 |
| `enrich_news`              | Get recent news coverage for a specific company, filterable by category such as funding, M&A, executive moves, and product launches                      |
| `account_research`         | Get AI-generated strategic intelligence on a company — overview, financials, competitors, buying committee, deal health, and engagement activity         |
| `contact_research`         | Get AI-generated professional background on a specific person — career history, expertise, CRM records, and outreach context                             |
| `lookup`                   | Retrieve standardized reference data for use in search filters — industries, management levels, metro regions, tech products, intent topics, and more    |
| `submit_feedback`          | Submit feedback on ZoomInfo MCP tools covering data quality, feature requests, access issues, or other topics                                            |

## Additional resources

- [ZoomInfo MCP Overview](https://docs.zoominfo.com/docs/zi-api-mcp-overview)
- [ZoomInfo Developer Documentation](https://docs.zoominfo.com/)